Why you NEED to be running local AI models (FULL beginners guide)

A beginner-oriented overview of running AI models locally instead of relying on cloud services like ChatGPT or Claude. Covers the benefits of local AI (cost, privacy, scalability, offline use), hardware options ranging from a $600 Mac Mini to $10,000 Mac Studios and Nvidia DGX Spark, and recommended open-source models including Qwen 3.5, Nvidia Neotron 3, and MiniMax 2.5. Also demonstrates using LM Studio to run models locally and a hybrid 'brain-muscles' architecture where a cloud model orchestrates tasks while local models handle execution, enabling 24/7 AI agent workflows at near-zero marginal cost.